Kimberly graduated from California State University, Los Angeles with a bachelor’s degree in Public Health. Her work entails recruitment, outreach, database management, and data collection for the NEAT study. She also pre-processes and analyzes the activity monitor data from both ABB and NEAT to get measures of physical activity for the DORI project.
Elisabeth works on various studies with the ABCD dataset to analyze how air pollution exposures affect brain diffusion outcomes and mental health in children. She assists with model development, implementation, and analysis. She graduated from the University of Washington School of Public Health with a Master of Science and a focus in Environmental Health.
Hedyeh Ahmadi, Ph.D.
Hedyeh Ahmadi earned her postdoc from University of California, Irvine in 2021 and Ph.D. in Measurement, Evaluation, and Statistics from Columbia University in 2019. She completed her M.S. in Statistics at University of California, Irvine in 2016. Her research focuses on applying and testing of methods for analyzing repeated measure/longitudinal growth models in the context of Neuroscience, Salivary Bioscience, Psychology, and Education. In addition to exploring new methods, Hedyeh teaches advanced statistical methods to researchers via intensive training workshops. More broadly, she is interested in the use of regression models – particularly in the areas of meta-analysis and with censored salivary data.
Claire graduated from UC Davis with a degree in Neurobiology, Physiology and Behavior. She ran the ABB Pilot Study which looked at the effects of air pollution on brain development and obesity in young adults. Her work evolved to include working on an R03 grant examining the associations between amygdala subnuclei and age, sex, BMI, and puberty in adolescents and creating air pollution estimates for critical periods of development for our DORI project.
Devyn received her Bachelor’s degree in Neuroscience Psychology/Biology from Saint Mary’s College of California, and her Master’s degree in Neuroscience and Translational Medicine from Queen Mary, University of London. She is currently a PhD student at USC in the Neuroscience Graduate Program. Her research interests include employing multimodal neuroimaging techniques to better understand the effects of stress on emotional development and associated brain outcomes in adolescence.
Sandhya graduated from USC with a Master's degree in Neuroimaging and Informatics. She is currently a PhD candidate at USC in the Neuroscience Graduate Program. Her research interests include understanding how physical exercise relates to cognitive abilities and brain outcomes during adolescence, using multimodal neuroimaging techniques and big data.
Anisa graduated from UC Berkeley with a degree in Molecular and Cell Biology. She then got her Master's in Neuroimaging and Informatics at USC. In addition to running the NEAT study, Anisa is involved in pre-processing and quality control of the structural scans, assisting with the pipeline to pre-process the diffusion weighted images for both ABB and NEAT, and white matter tractography through amygdala subnuclei in NEAT.
Isabel Buri is a senior at USC studying Neuroscience, Environmental Studies, and Voice. She assists with data management and scoring for the ASL study, and has previously helped with data cleaning for the ABB Study.